{"id":120991,"date":"2020-10-14T13:00:40","date_gmt":"2020-10-14T13:00:40","guid":{"rendered":"http:\/\/webdomino.net\/?guid=a863546c96c75a4bef78387062af3b0e"},"modified":"2020-10-14T13:00:40","modified_gmt":"2020-10-14T13:00:40","slug":"intel-sgx-helps-ucsf-propel-medical-device-innovations","status":"publish","type":"post","link":"https:\/\/webdomino.net\/index.php\/intel\/intel-sgx-helps-ucsf-propel-medical-device-innovations\/","title":{"rendered":"Intel SGX Helps UCSF Propel Medical Device Innovations"},"content":{"rendered":"<figure id=\"attachment_94776\" aria-describedby=\"caption-attachment-94776\" style=\"width: 690px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/newsroom.intel.com\/wp-content\/uploads\/sites\/11\/2020\/10\/UCSF-Intel.jpg\"><img class=\"size-large wp-image-94776\" src=\"https:\/\/newsroom.intel.com\/wp-content\/uploads\/sites\/11\/2020\/10\/ucsf-2x1-1-690x345.jpg\" alt=\"ucsf 2x1 1\" width=\"690\" height=\"345\" srcset=\"https:\/\/newsroom.intel.com\/wp-content\/uploads\/sites\/11\/2020\/10\/ucsf-2x1-1-690x345.jpg 690w, https:\/\/newsroom.intel.com\/wp-content\/uploads\/sites\/11\/2020\/10\/ucsf-2x1-1-300x150.jpg 300w, https:\/\/newsroom.intel.com\/wp-content\/uploads\/sites\/11\/2020\/10\/ucsf-2x1-1-768x384.jpg 768w, https:\/\/newsroom.intel.com\/wp-content\/uploads\/sites\/11\/2020\/10\/ucsf-2x1-1-720x360.jpg 720w, https:\/\/newsroom.intel.com\/wp-content\/uploads\/sites\/11\/2020\/10\/ucsf-2x1-1-400x200.jpg 400w, https:\/\/newsroom.intel.com\/wp-content\/uploads\/sites\/11\/2020\/10\/ucsf-2x1-1-200x100.jpg 200w, https:\/\/newsroom.intel.com\/wp-content\/uploads\/sites\/11\/2020\/10\/ucsf-2x1-1-100x50.jpg 100w, https:\/\/newsroom.intel.com\/wp-content\/uploads\/sites\/11\/2020\/10\/ucsf-2x1-1.jpg 1000w, https:\/\/newsroom.intel.com\/wp-content\/uploads\/sites\/11\/2020\/10\/ucsf-2x1-1-600x300.jpg 600w\" sizes=\"(max-width: 690px) 100vw, 690px\" \/><\/a><figcaption id=\"caption-attachment-94776\" class=\"wp-caption-text\">New Helen Diller Medical Center signs on 505 Parnassus Avenue.<\/figcaption><\/figure>\n<p><strong>What\u2019s New:<\/strong>\u00a0The University of California San Francisco\u2019s (UCSF) Center for Digital Health Innovation (CDHI) is using Intel\u00ae Software Guard Extensions (Intel\u00ae SGX) featured in Intel\u00ae Xeon\u00ae E processors and Fortanix\u00ae Confidential Computing Enclave Manager to help streamline certification of breakthrough medical devices with embedded artificial intelligence (AI) capabilities. The UCSF BeeKeeperAI\u2122 project utilizes the unique hardware enhanced security of Intel SGX to accelerate the validation of the devices\u2019 data and algorithms in order to improve both patient care and privacy. Validating these algorithms against multiple distinct datasets owned by various organizations can be challenging and time-consuming, but essential for user security.<\/p>\n<blockquote><p>\u201cUCSF&#8217;s Center for Digital Health Innovation is pleased to be collaborating with Fortanix, Intel and Microsoft Azure to establish a confidential computing\u00a0platform with privacy-preserving analytics to accelerate the development and validation of clinical algorithms. The\u00a0platform will provide a\u00a0&#8216;zero trust&#8217;\u00a0environment to protect both the intellectual property of an algorithm and the privacy of healthcare data. Using\u00a0Fortanix Enclave Manager for orchestration of Intel\u2019s SGX enclaves on Azure confidential computing infrastructure with Azure Kubernetes Service (AKS), and CDHI\u2019s proprietary BeeKeeperAI data access,\u00a0transformation, and orchestration workflows,\u00a0the platform will reduce the time and cost of developing clinical algorithms.\u201d<br \/>\n\u2013Michael Blum, MD, associate vice chancellor for informatics, executive director of CDHI and professor of medicine at UCSF<\/p><\/blockquote>\n<p><strong>Why It Matters:<\/strong>\u00a0UCSF is leveraging the Fortanix Confidential Computing Enclave Manager platform that uses Intel SGX to help protect the privacy of patient data. Intel SGX enables the platform to create a trusted computing environment that offers hardware-based memory encryption that helps isolate specific application code and data in memory. This means the BeeKeeperAI project can use these private regions of memory, called enclaves (or Trusted Execution Environments or TEEs), to increase the security of application code and data (to run signed applications in enclaves). This enables other organizations to confidently work together to validate the algorithms while helping to keep each organization\u2019s data confidential and protect intellectual property.<\/p>\n<p>Gaining regulatory approval for clinical\u00a0AI algorithms\u00a0requires\u00a0highly\u00a0diverse\u00a0and detailed\u00a0clinical\u00a0data to develop, optimize and validate\u00a0unbiased\u00a0algorithm models.\u00a0Algorithms used in the context of delivering healthcare should be capable of consistently performing across diverse patient populations, socioeconomic groups and geographic locations, and be equipment-agnostic.\u00a0Few research groups, or even large healthcare organizations, have access to enough high-quality data to accomplish these goals.<\/p>\n<p><strong>How It Works:<\/strong>\u00a0The\u00a0platform\u00a0will\u00a0provide a\u00a0\u201czero-trust\u201d\u00a0environment\u00a0designed to protect\u00a0both the\u00a0intellectual property of an\u00a0algorithm\u00a0and the privacy of healthcare\u00a0data,\u00a0while\u00a0CDHI\u2019s proprietary\u00a0BeeKeeperAI\u00a0will provide\u00a0the workflows to\u00a0enable more efficient data access, transformation and orchestration.\u00a0The confidential computing technology helps protect the privacy of patient data by enabling a specific algorithm to interact with a specifically curated dataset, which remains\u00a0at all times in the control of the healthcare institution. The data is placed into an\u00a0enclave protected by Intel SGX and leveraging\u00a0Fortanix\u00a0cryptographic functions, including validating the signature of the algorithm\u2019s image.<\/p>\n<p>\u201cBeeKeeperAI will accelerate the development of clinical AI algorithms while protecting the privacy of patient data with confidential computing technology,\u201d said Ambuj Kumar, CEO and co-founder, Fortanix. \u201cThis groundbreaking new healthcare AI platform will enable life-saving clinical AI algorithms to be validated in days instead of years. The UCSF Center for Digital Health Innovation is using Fortanix technology to secure both the private patient data and the intellectual property of the artificial intelligence algorithms, enabling researchers to combine diverse sets of data while ensuring complete data privacy.\u201d<\/p>\n<p><strong>More Context:<\/strong>\u00a0<a href=\"https:\/\/newsroom.intel.com\/news-releases\/intel-xeon-scalable-platform-built-most-sensitive-workloads\/\">Intel Xeon Scalable Platform Built for Most Sensitive Workloads<\/a>\u00a0(News Release)<\/p>\n<p><strong>Intel Customer Stories:<\/strong>\u00a0<a href=\"https:\/\/www.intel.com\/content\/www\/us\/en\/customer-spotlight\/overview.html\">Intel Customer Spotlight on Intel.com<\/a>\u00a0|\u00a0<a href=\"https:\/\/newsroom.intel.com\/category\/customer-stories\/\">Customer Stories on Intel Newsroom<\/a><\/p>\n<p>The post <a rel=\"nofollow\" href=\"https:\/\/newsroom.intel.com\/news\/intel-sgx-helps-ucsf-propel-medical-device-innovations\/\">Intel SGX Helps UCSF Propel Medical Device Innovations<\/a> appeared first on <a rel=\"nofollow\" href=\"https:\/\/newsroom.intel.com\/\">Intel Newsroom<\/a>.<\/p>\n<img src=\"http:\/\/feeds.feedburner.com\/~r\/IntelNewsroom\/~4\/_763Ptwatqw\" height=\"1\" width=\"1\" alt=\"\"\/>","protected":false},"excerpt":{"rendered":"<p>What&rsquo;s New:&nbsp;The University of California San Francisco&rsquo;s (UCSF) Center for Digital Health Innovation (CDHI) is using Intel&reg; Software Guard Extensions (Intel&reg; SGX) featured in Intel&reg; Xeon&reg; E processors and Fortanix&reg; Confidential Computing Enclave Manager to help streamline certification of breakthrough medical devices with embedded artificial intelligence (AI) capabilities. The UCSF BeeKeeperAI&trade; project utilizes the unique &hellip; <a href=\"https:\/\/newsroom.intel.com\/news\/intel-sgx-helps-ucsf-propel-medical-device-innovations\/\">Continued<\/a><\/p>\n<p>The post <a rel=\"nofollow\" href=\"https:\/\/newsroom.intel.com\/news\/intel-sgx-helps-ucsf-propel-medical-device-innovations\/\">Intel SGX Helps UCSF Propel Medical Device Innovations<\/a> appeared first on <a rel=\"nofollow\" href=\"https:\/\/newsroom.intel.com\/\">Intel Newsroom<\/a>.<\/p>\n","protected":false},"author":186,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_mi_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[4],"tags":[4223,13395,13043,9592,4247,7136,11402,13392,976,36,13393,13396],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Intel SGX Helps UCSF Propel Medical Device Innovations - WebDomino.NET<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"http:\/\/webdomino.net\/index.php\/intel\/intel-sgx-helps-ucsf-propel-medical-device-innovations\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Intel SGX Helps UCSF Propel Medical Device Innovations - WebDomino.NET\" \/>\n<meta property=\"og:description\" content=\"What&rsquo;s New:&nbsp;The University of California San Francisco&rsquo;s (UCSF) Center for Digital Health Innovation (CDHI) is using Intel&reg; Software Guard Extensions (Intel&reg; SGX) featured in Intel&reg; Xeon&reg; E processors and Fortanix&reg; Confidential Computing Enclave Manager to help streamline certification of breakthrough medical devices with embedded artificial intelligence (AI) capabilities. 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